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Started as a Research Intern at Microsoft Research, building conversational agents for medical diagnosis via multi-turn dialogue modeling and clinical reasoning.

Began an AI Security internship at the National University of Singapore (KISP Lab, Prof. Prateek Saxena), extending OverThink with a filtering-evasive slowdown attack on LLMs.

Our paper Hierarchical Masked Diffusion Language Models is under review — a two-stage diffusion model predicting token-level generation priorities before decoding.

Our paper ProbMedTOD: A Probabilistic Task-Oriented Dialogue System for Patient History Taking is under review, achieving a 21-pt MRR gain over baselines.

Started my M.Tech thesis on Hierarchical Masked Diffusion Language Models under Prof. Parag Singla.

Joined Ebullient Securities as a Quantitative Researcher Intern, building and live-testing alpha signals and a custom C++ trading strategy.